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Considers the use of robotics in the workplace as a means of protecting workers from exposure to hazardous substances, environments and physical agents. Gives examples of robots being used to handle radioactive material and working in the high dust exposure atmosphere of a plastics factory. Emphasizes the need to use a systematic approach to obtain the maximum health and safety benefit from automation of work, and outlines the areas to be considered. Describes the role of the British Robotics Association in realizing the potential benefits to occupational health from the application of robotic workstations and looks at areas of industry where this might be implemented. Concludes that using robotics to bring about health and safety benefits as well as production efficiency and quality improvement is a wide and new area for industry to develop.

The purpose of the paper is to conduct a review of the literature on human-robot collaboration across different functions and activities of human resource management (HRM) and discuss its importance for change readiness in organizations.

A bibliometric analysis was conducted to identify emerging research themes in the fields of human resources (HR) and robotics, including change readiness. Based on the initial results of the bibliometric analysis, a systematic literature review was subsequently performed to gain a more specific understanding of research across various HRM functions and change readiness.

The results from bibliometric analysis and systematic review highlight that technological progression in HRM, such as AI-driven staffing and training techniques, improves effectiveness and personalization but raises concerns about privacy and job scrutiny. AI and robotics in performance evaluation enhance objectivity and reduce subjectivity, which can lead to disengagement. Generational differences, cultural factors and emotional quotient complicate readiness to adopt new technologies. The research emphasizes balancing technological effectiveness with employee involvement and meaningfulness to ensure successful implementation and engagement.

This paper synthesizes existing research, including literature, theoretical concepts and models, to identify best practices and successful strategies for implementing human-robot collaboration in HRM functions. It highlights gaps in the current literature and suggests areas for future research to advance the field of human-robot collaboration in HRM. By doing so, this paper enhances theoretical understanding while offering practical insights essential for effective change management.

Researchers and practitioners have recently been interested in corporate sustainability performance (CSP). However, knowledge on measuring CSP is limited. Many CSP-measurements are eclectic, without guidance for contextual applications. This paper aims to develop a conceptual framework that categorizes, explains and evaluates measurements based on their accuracy and precision and provides a guideline for their context-specific application.

The authors conducted a systematic literature review of an initial sample of 1,415 papers.

The final sample of 74 papers suggested four measurement categories: isolated indicators, indicator frameworks, Sustainability Balanced Scorecards (SBSC) and Sustainability Performance Measurement Systems (SPMS). The analysis reveals that isolated indicators are inaccurate and imprecise, limiting their application to organizations with delimited, specific measurements of parts of CSP due to the risk of a GIGO-effect (i.e. low-quality input will always produce low-quality output). CSP-indicator frameworks are imprecise but accurate, making them applicable to organizations that handle a more significant amount of CSP data. They have a risk of greensplashing, i.e. many indicators not connected to the industry, organization or strategy. In contrast, SBSCs are precise but inaccurate and valuable for organizations desiring a comprehensive strategic management tool with limited capacity to handle sustainability issues. They pose a risk of the streetlight effect, where organisations do not measure relevant indicators but what is easy to measure.

The ideal CSP-measurement was identified as SPMSs, which are both precise and accurate. SPMSs are useful for organizations with complex, comprehensive, connected and tailored indicators but are methodologically challenging.

This paper presents a review of published literature on robot reliability and safety. The literature is classified into three main categories: robot safety; robot reliability; and miscellaneous. Robot safety is further categorized into six classifications: general; accidents; human‐factors; safety standards; safety methods; and safety systems/technologies. The period covered by the review is from 1973 to 2001.

This paper aims to measure exposures to airborne contaminants during three-dimensional (3-D) printing and post-processing tasks in an industrial workplace.

Contaminant concentrations were assessed using real-time particle number (0.007 to 1 µm) and total volatile organic compound (TVOC) monitors and thermal desorption tubes during various tasks at a manufacturing facility using fused deposition modeling (FDM^TM) 3-D printers. Personal exposures were measured for two workers using nanoparticle respiratory deposition samplers for metals and passive badges for specific VOCs.

Opening industrial-scale FDM^TM 3-D printer doors after printing, removing desktop FDM^TM 3-D printer covers during printing, acetone vapor polishing (AVP) and chloroform vapor polishing (CVP) tasks all resulted in transient increases in levels of submicrometer-scale particles and/or organic vapors, a portion of which enter the workers’ breathing zone, resulting in exposure. Personal exposure to quantifiable levels of metals in particles <300 nm were 0.02 mg/m³ for aluminum, chromium, copper, iron and titanium during FDM^TM printing. Personal exposures were 0.38 to 6.47 mg/m³ for acetone during AVP and 0.18 mg/m³ for chloroform during CVP.

Characterization of tasks provided insights on factors that influenced contaminant levels, and in turn exposures to various particles, metals < 300 nm and organic vapors. These concentration and exposure factors data are useful for identifying tasks and work processes to consider for implementation of new or improved control technologies to mitigate exposures in manufacturing facilities using FDM^TM 3-D printers.

This paper introduces a reference model for the life cycle of a logical business unit (LBU). It goes on to explain how the model was deduced from empirical data generated during participation by the authors in a series of change management interventions in various organisations situated in the West of Scotland. Case studies are used from these interventions to illustrate how the application of reliability‐engineering concepts was used to explore the performance of business processes in delivering stakeholder value. It is recommended that “generate” “decommission” and “remedial” business processes are added to a widely used business process framework. This new framework when used for lifecycle planning of LBUs in conjunction with the LBU life cycle model can assist businesses in reliable delivery of stakeholder value.

Living in the community as a person with child sex offences can be difficult. The stigma of such offences can impact upon a person’s ability to gain employment or housing, maintain or establish relationships and live an “ordinary” life. The fear of being “outed” as a “child sex offender” can cause anxiety, isolation and increase the potential to withhold truth. The purpose of this paper is therefore to highlight what the impact of stigma can be on a small cohort of men living in the community, post-sexual conviction.

Ten men living in the community with child sex offences were interviewed on a semi-structured basis as part of a wider project exploring their community experiences. Thematic data analysis was used.

It was established that the label of “child sex offender” limited the participants life in the community. They often tried to live a “normal” life by managing the stigma in specific ways: calling themselves “ex-sex offenders”; accepting the label; isolating themselves; and passing off their identity. It was found that time was a significant healer when it came to the “potency” of the label.

To the best of the author’s knowledge, this project is one of only a few similar studies that have drawn qualitative data from an English cohort of people with child sex offences. It adds new information to the literature surrounding the impact of stigma.